Neuromorphic Cardiac Pacing System with Adaptive Electrode Configurations

Publication ID: 24-11857795_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Neuromorphic Cardiac Pacing System with Adaptive Electrode Configurations,” Published Technical Disclosure No. 24-11857795_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857795_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,795.

Summary of the Inventive Concept

A next-generation cardiac pacing system that utilizes a neuromorphic processor to learn and adapt to a patient's cardiac rhythms, delivering personalized pacing stimuli through a multi-electrode array.

Background and Problem Solved

The original patent addresses the limitation of selecting one or more electrode combinations from a plurality of electrodes. However, this approach is limited by its inability to adapt to changing cardiac rhythms and patient conditions. The new inventive concept solves this problem by introducing a neuromorphic processor that can learn and adapt to a patient's cardiac rhythms in real-time, enabling more effective and personalized pacing.

Detailed Description of the Inventive Concept

The neuromorphic cardiac pacing system consists of a wearable sensor that monitors a patient's cardiac rhythms and physical activity, a cloud-based database that stores and analyzes cardiac rhythm data from a plurality of patients, and a processor that uses machine learning algorithms to analyze the data and develop personalized pacing protocols. The system adjusts pacing parameters in real-time based on the monitored cardiac rhythms and physical activity, and can predict cardiac arrhythmias using deep learning algorithms.

Novelty and Inventive Step

The new inventive concept introduces the use of neuromorphic processing, machine learning algorithms, and cloud-based data analysis to enable real-time adaptation to changing cardiac rhythms and patient conditions. This represents a significant departure from the original patent's fixed electrode selection approach, and provides a more effective and personalized pacing solution.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as implantable sensors or mobile devices, to monitor cardiac rhythms and physical activity. Additionally, the system could be integrated with other medical devices, such as pacemakers or implantable cardioverter-defibrillators, to provide a more comprehensive cardiac care solution.

Potential Commercial Applications and Market

The neuromorphic cardiac pacing system has significant commercial potential in the cardiac care industry, particularly in the areas of personalized medicine and remote patient monitoring. The system could be marketed to hospitals, clinics, and medical device manufacturers, and could potentially disrupt the existing cardiac pacing market by providing a more effective and adaptive solution.

Field of Art

Cardiac medical devices, specifically cardiac pacing systems and electrode configuration technologies, requiring advanced knowledge of electrical engineering, biomedical engineering, and signal processing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in cardiac device design, signal processing, machine learning applications in medical technologies, and understanding of neural stimulation techniques

Obviousness Rationale

A PHOSITA would recognize that the neuromorphic processing approach represents a predictable extension of existing cardiac pacing technologies, applying well-known machine learning techniques to optimize electrode configuration and stimulation parameters. The core functional elements of electrode selection and cardiac rhythm monitoring remain fundamentally consistent with the source patent, with the primary innovation being the adaptive learning methodology. The proposed system represents an incremental technological improvement that would be obvious to implement using standard machine learning and signal processing techniques.

Obvious Combinations & Variations

Source Patent Element
Electrode configuration selection system with user interface for configuring pacing parameters
PTD Variation
Machine learning-based adaptive electrode configuration system with cloud-based data analysis
Obviousness Reasoning
Applying machine learning to optimize existing electrode selection processes represents a predictable technological evolution using known techniques in signal processing and adaptive systems
Source Patent Element
Cardiac pacing system with multiple electrode configurations
PTD Variation
Multi-electrode array with real-time parameter adjustment based on patient activity and cardiac rhythms
Obviousness Reasoning
Dynamic parameter adjustment is a known technique in medical device design, representing an obvious optimization of existing electrode configuration technologies
Source Patent Element
Pacing stimuli delivery system with configurable parameters
PTD Variation
Neuromorphic processor using deep learning to predict and prevent cardiac arrhythmias
Obviousness Reasoning
Predictive medical technologies using machine learning are a standard approach to improving diagnostic and treatment capabilities in medical device design
Source Patent Element
User-configurable cardiac pacing interface
PTD Variation
Cloud-based personalized pacing protocol development using aggregated patient data
Obviousness Reasoning
Data-driven personalization is a predictable application of big data and machine learning techniques to medical device optimization
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857795 and the disclosed neuromorphic cardiac pacing system, a person of ordinary skill in the art would find the claimed variations obvious, as the proposed technological improvements represent predictable applications of machine learning and adaptive processing techniques to existing cardiac pacing technologies, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,795
TitleMethod and apparatus to perform electrode combination selection
Assignee(s)Cardiac Pacemakers, Inc.